ABSTRACT
Objective@#To examine epidemiology of self-injurious behavior and explore the association between self-injurious behavior and parental rearing styles, to provide the theoretical basis for the identification, prevention and occurrence of the self-injurious behaviors among adolescents.@*Methods@#Stratified cluster sampling was used to survey 3 683 students from three colleges in Wuhu and Huainan by using questionnaire response. Egna Minnen avBarn-dosnauppforstran(EMBU) and demographic characteristics were used by college students to assess their selfinjurious behavior and parental rearing styles.@*Results@#For college students, the detection rate of reporting of 1-2 self-injurious behavior was 30.4%, and the rate of reporting of 3 or more self-injurious behavior was 11.8%. In terms of the occurrences of self-injurious behavior, gender(χ2=76.98), classification of colleges and universities(χ2=153.71) and the relationship with father (χ2=47.48) and with mother (χ2=40.01) were markedly different(P<0.05). Correlation and regression analysis indicated that the risks leading to self-injurious behavior were involved in medical students, overprotection from father and preference from mother(OR=2.05, 95%CI=1.64-2.55; OR=1.13, 95%CI=1.06-1.20; OR=1.05, 95%CI=1.01-1.09).@*Conclusion@#Female students and medical students can be inclined to self-injurious behavior. Parental rearing styles were related to the self-injurious behaviors of college students. Strengthening interaction between students and parents, providing appropriate emotional warmth as well as encouraging the establishment of a good family atmosphere may reduce the occurrence of self-injurious behavior in current college students.
ABSTRACT
Timely reporting, effective analyses and rapid distribution of surveillance data can assist in detecting the aberration of disease occurrence and further facilitate a timely response. In China, a new nationwide web-based automated system for outbreak detection and rapid response was developed in 2008. The China Infectious Disease Automated-alert and Response System (CIDARS) was developed by the Chinese Center for Disease Control and Prevention based on the surveillance data from the existing electronic National Notifiable Infectious Diseases Reporting Information System (NIDRIS) started in 2004. NIDRIS greatly improved the timeliness and completeness of data reporting with real time reporting information via the Internet. CIDARS further facilitates the data analysis, aberration detection, signal dissemination, signal response and information communication needed by public health departments across the country. In CIDARS, three aberration detection methods are used to detect the unusual occurrence of 28 notifiable infectious diseases at the county level and to transmit that information either in real-time or on a daily basis. The Internet, computers and mobile phones are used to accomplish rapid signal generation and dissemination, timely reporting and reviewing of the signal response results. CIDARS has been used nationwide since 2008; all Centers for Disease Control and Prevention (CDC) in China at the county, prefecture, provincial and national levels are involved in the system. It assists with early outbreak detection at the local level and prompts reporting of unusual disease occurrences or potential outbreaks to CDCs throughout the country.